Our FDEs talk with the team, trace how the business runs, surface unit economics, and connect the systems before choosing automations. AI and agents only belong where the work maps to workflow lift or EBITDA movement. Pricing is transparent at $750/hr, and we co-invest.
// truesilver partners
Enhance.
Automate.
Compound.
We work with healthcare-focused funds and private equity firms. We turn AI and automation into measurable portfolio value. We start with the fund thesis, then forward deployed engineers (FDEs) embed inside real healthcare operations, connect the systems, and ship reviewed automations. Two client relationships per year. No AI theater. Less administrative drag. More EBITDA.




01 / Thesis
Not AI theater. Workflow proof for fund level strategy.
We often deploy our own technology: STUDIO and STUDIO FOR FUNDS, so strategy moves from diligence into reviewed workflows.That includes AGIMAN, our proprietary local-first AI scribe. An AGIMINION room device captures encounter audio, and the AGIMAN appliance drafts chart notes on the practice network for clinician review.
Patient access, provider admin, scheduling, revenue cycle, intake, referrals, and data cleanup are the first places we test for measurable lift.
Use AI, focused agents, and automation only where the lift is measurable and the review path is clear.
Clinical and operator judgment stays with people. Administrative drag gets automated where the owner can inspect the work.
02 / Precise Moves
Small moves matter when they change behavior inside a real workflow. Keep the durable core intact, alter the route, handoff, or review step, and measure whether the company actually runs better.
Method note
A fund strategy gets sharper when the intervention is small enough to inspect and strong enough to compound.
Small moves for funds
For healthcare-focused funds, the method means choosing the few moves where AI, focused agents, technology, or automation can change a portfolio company workflow without disturbing the durable core: better intake, cleaner data, faster routing, tighter handoffs, or less administrative drag around care.
Patient access
Provider admin
Scheduling
Revenue cycle
Intake / referrals
Data cleanup
03 / Criteria
Built for healthcare-focused funds with real portfolio work to do.
04 / Essays
Essays
01
Medical LLM Benchmark
Judging medical language models against the work they will actually touch.
Read essay
02
Hacker Equity
Private equity returned on a position; with focused agents the return comes from the work, and when the owner is also the builder the asset class itself changes.
Read essay
03
Where the Scribe Runs
The HIPAA Security Rule proposal is asking healthcare AI to show its path: where ePHI moves, who reviews the output, and which systems create the evidence.
Read essay
05 / Dom Phillips
Dominic Phillips
Founder and Managing Partner
Dom was CTO at TeleClinic through its acquisition. After TeleClinic, he joined CompuGroup Medical, a German healthcare-software group with over EUR 1.2B in revenue, where he built the CGM One Phone Assistant and worked on AI strategy.
He co-founded CodeSubmit with his wife Tracy. Hiring teams at Apple, Netflix, the US Air Force, Genentech, and Pfizer used it. He also co-founded Mayze, a dating app, and was CTO at Revel, a fashion app for discovering new designers in Los Angeles. Both failed, and both were useful: Mayze taught him about matching algorithms, and Revel taught him that branding shapes how customers understand a product before they try it. It made him more deliberate about naming, positioning, and the first screen a customer sees.
Dom lives a quiet, productive, distraction-free life in the desert in La Quinta, California (fastest Internet and lowest electricity cost in CA). He enjoys spending time with Tracy and their son Tom, tennis, and video games.
Builder reference
“You are a real builder, not a deck-only guy. Strong technical spine, real healthcare operator and investor context, and you keep bringing AI back to measurable workflow and EBITDA impact. I would also say you are unusually comfortable inside messy real-world systems, which is rare and useful.”





